ML Ops Engineer

Contractor will provide suitable personnel to perform the ML Engineer role:

·       6+ years’ experience

·       Work and collaborate with data science and engineering teams to deploy and scale models and algorithms.

·       Operationalize complex machine learning models into production including end to end deployment.

·       Understand standard Machine Learning algorithms (Regression, Classification) & Natural Language processing concepts (sentiment generation, topic modeling, TFIDF) .

·       Working knowledge of standard ML packages like scikit learn, vader sentiment, pandas, pyspark.

·       Design, Develop and maintain adaptable data pipelines to maintain use case specific data.

·       Integrate ML use cases in business pipelines & work closely with upstream & downstream teams to ensure smooth handshake of information.

·       Develop & maintain pipelines to generate & publish model performance metrics that can be utilized by Model owners for Model Risk Oversight's model review cadence.

Support the operationalized models and develop runbooks for maintenance.